{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This mounts your Google Drive to the Colab VM.\n",
    "from google.colab import drive\n",
    "drive.mount('/content/drive', force_remount=True)\n",
    "\n",
    "# Enter the foldername in your Drive where you have saved the unzipped\n",
    "# assignment folder, e.g. 'cs231n/assignments/assignment1/'\n",
    "FOLDERNAME = None\n",
    "assert FOLDERNAME is not None, \"[!] Enter the foldername.\"\n",
    "\n",
    "# Now that we've mounted your Drive, this ensures that\n",
    "# the Python interpreter of the Colab VM can load\n",
    "# python files from within it.\n",
    "import sys\n",
    "sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\n",
    "\n",
    "# This downloads the CIFAR-10 dataset to your Drive\n",
    "# if it doesn't already exist.\n",
    "%cd drive/My\\ Drive/$FOLDERNAME/cs231n/datasets/\n",
    "!bash get_datasets.sh\n",
    "%cd /content/drive/My\\ Drive/$FOLDERNAME"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ 明显高亮行，说明此图和所有X_train中图片的距离都很大，即与所有训练数据都不相似；而明显黑暗行，说明此图和所有训练图片都比较相似。\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the funsction predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 46.242810 seconds\n",
      "One loop version took 132.258803 seconds\n",
      "No loop version took 1.076175 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "y_train_ = y_train.reshape(-1,1)\n",
    "X_train_folds,y_train_folds = np.array_split(X_train,5),np.array_split(y_train_,5)\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "for k_ in k_choices:\n",
    "    k_to_accuracies.setdefault(k_,[])\n",
    "for i in range(num_folds):\n",
    "    classifier = KNearestNeighbor()\n",
    "    X_val_train = np.vstack(X_train_folds[0:i] + X_train_folds[i+1:])\n",
    "    y_val_train = np.vstack(y_train_folds[0:i] + y_train_folds[i+1:])\n",
    "    y_val_train = y_val_train[:,0]\n",
    "    classifier.train(X_val_train, y_val_train)\n",
    "    for k_ in k_choices:\n",
    "        y_val_pred = classifier.predict(X_train_folds[i], k=k_)\n",
    "        num_correct = np.sum(y_val_pred == y_train_folds[i][:,0])\n",
    "        accuracy = float(num_correct) / len(y_val_pred)\n",
    "        k_to_accuracies[k_] = k_to_accuracies[k_] + [accuracy]\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
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omvSv1ZoiItLdKZx1c+sWbefjDytpbHA8+YO3OHX6MEaenBPtso5IQUGBwpiIiHR7GtbsxtYt2s78Z9bQ2OAA2Lu7lvnPrGHdou1RrkxERETao3DWjS2ctYGGukCrtoa6AAtnbYhSRSIiInI4Cmfd2N7dtR1q7wq+9PuFzScjiIiIdEcKZ91Yap/EDrWLiIhI9CmcdWOnTh9GXELrWxyXEMOp04dFqSIRERE5HK3W7MaaVmU+98pyGhscqX0Su/RqTRERkZ5A4aybG3lyDv2Xe7voX339qe1et3rBfMo/+IjGhnpm3DiDMy+/itFnTuysMkVERCRIw5rC6gXzeWPGb2isrwPn2LNrJ2/M+A2rF8yPdmkiIiI9jsKZsOD5p2ioa72Cs6GulgXPPxWlikRERHouhTNhzye7OtQuIiIikaNwJqT1zepQu4iIiESOwplw5uVXEZfQeu+zuIREzrz8qihVJCIi0nNptaY0r8r8yyxvtWZaVrZWa4qIiESJes66qMriYqpLSti/eDEfnDuJyuLio3q/0WdOJHfEKPJHj+W63z7R4WC2b9kO6jbvofbDSsp//i77lu04qnraUlpaytatW9m0aRMPPfQQpaWlYf8MERGRaFM464Iqi4sp/9HduLo6ABrKyij/0d1HHdCO1L5lO6iY+QGu0TtkvbGiloqZH4Q1oJWWllJcXExDQwMAlZWVFBcXK6BJROgMVxGJJoWzLmjHQw/jampatbmaGnY89HBU6qmauwlXH2hdT32AqrmbwvYZ8+bNo76+vlVbfX098+bNC9tniIiI+IHCWRfUUF7eofZIa6yo7VD7kaisrOxQu4iISFelcNYFxeXmdqg90mIzEzvUfiQyMjI61C4iItJVKZx1Qf1uvQVLSmrVZklJ9Lv1lqjUkz55MBbf+reSxceQPnlw2D5j0qRJxMfHt2qLj49n0qRJYfsMERERP9BWGl1QxtSpANjr23B1dcTl5dHv1lua2ztbyvh+Xj0vL8c1BojNTCR98uDm9nAoKCgA4LWX1tLQ0EBGRgaTJk1qbhcREekuFM66qIypU0ku81aTjXjspihX4wW0hHfTAMi9fkJEPqOgoID8hfsAuPX6KyLyGSIiItGmYU0RERERH1E4ExEREfERhTMRERERH1E4ExEREfERhTMRERERH4loODOzC81srZmtN7Pvt/H8V8ysNPjjbTMrbPHcrWa2ysxWmtlzZpZ04OtFREREupuIhTMziwV+C1wEjAGuMLMxB1z2IXC2c64A+B9gRvC1A4CbgJOcc2OBWODySNUaDfe/cz9LPl7Cko+XUPhUIfe/c39EPmfdou1s+bCCDes/5Yk7/826RdvbvG71gvmUf7CWratXMuPGr7F6wfyI1CMiIiKHFsmeswnAeufcRudcHfA8ML3lBc65t51znwYfvgPkt3g6Dkg2szigF1AWwVo71f3v3M8La19ofhxwAV5Y+0LYA9q6RduZ/8wadroAu2Idv6+v4onnVh0U0FYvmM8bM35DY30dOMeeXTt5Y8ZvFNBERESiIJLhbACwpcXjrcG29lwDvA7gnNsGPAhsBsqBSufcGxGqs9O9tO6lDrUfqYWzNlDe0EC9QXIA9sXAc0k1/PcrJbxfVtV83YLnn6KhrvUh5Q11tSx4/qmw1iMiIiKHF8lwZm20uTYvNJuIF86+F3zcG6+XbQiQB6SY2ZXtvPY6M1tiZkt27twZlsIjLeACHWo/Unt317I6oREc9A4Y11YlcnZ1HFsDDVzy6wXc9sJytn66nz2f7Grz9e21i4iISOREMpxtBQa2eJxPG0OTZlYAPAZMd859Emw+D/jQObfTOVcPzAROa+tDnHMznHMnOedOys7ODus3ECkx1vYve3vtR6pX7wRWJzSS5CAWIw5jQm08t8Smc91ZQ5m9opxzH3yTd/POpTom8aDXp/XNCms9IiIicniRDGeLgRFmNsTMEvAm9Be1vMDMBuEFr68659a1eGozcIqZ9TIzAyYBqyNYa6f64sgvdqj9SGWemUNVjKOX+6wTMy4hhnMvHcGdF43mn7efw/RxebybMJI/D/wKe+JSm7s24xISOfPyq8Jaj4iIiBxexA4+d841mNm3gLl4qy0fd86tMrMbgs8/CtwN9AV+52UwGoK9YIvM7GXgPaABWEZwJWd38MNTfgjAEx95j2Mshi+O/GJze7i8V1dDYqyRiuEaILVPIqdOH8bIk3MAyMtM5oEvFnLtmUP50bP/5t0dieyLTSEhK5fzLv8yo8+cGNZ6RERE5PAiFs4AnHOvAa8d0PZoi6+vBa5t57X3APdEsr5o+uEpP2RFyUIAXrjq22F///rGAHNWlHP+cTns3ONN9r/6+lPbvHZUThr3fS6Jq4rK2RmbweKE4ZwX9oqO3uzZs/noo70457jvvjc48cQTmTJlSrTLEhERCSudENBN/Xv9Lnbvq2P6uEMtkPU0baWRULeXpMZqFsWNoPgPv/fVVhqzZ89myZIlOOcIOCMQcCxZsoTZs2dHuzQREZGwUjjrpoqWl5GRHM/ZIw+/SKLlVhpp9XuojU1kafIoX22lsXTpUpyDSpfETtJ4vnYcf6sbwWPvlDNv9cfNvYMiIiJdXUSHNSU6qusambtqO9PH5ZEQd/j83XLLjARXz5B9H7IsvZDCbSsjWWaHBAKOdxsGUUMCSdQxMLaSXYEUShoyuObJJQDkZSRRkJ9JwcAMCvMzOT4/g/Sk+ChXLiIi0jEKZ93Q31d/zP66RqYVHn5IE7wtM/bs+myPuJMrlvD8gC/yfv9TIlVih5U25rG6sT+9qCWVWk6P3wRAA7FMu/pGSrdWULK1ktKtFfx11WcnIAzNTqEwP5OC/AwK8jM5Li+dpPjYKH0XIiIih6dw1g3NWl5GTnoSE4b0Cen6My+/ijdm/Kb5cXbdLoZVf8SytDFUVteTkRzd3qc/v/MRyxoGMCxmF3sCCViL7Y1POWk8E4b0afW9VuyvozQY1Eq2VvLW+l28smwbAHExxsj+aRQO9MJaYX4mI/unEherEX4REfEHhbNupmJ/HW+u28F/nTaY2Ji2Dmk4WNOWGX+Z9RGNDfWkZWVz2wWjuHFBDX/894fcdv7ISJZ8SEUlZdw9ayXnje7H1N6On73jrdY0s3ZXa2b2SuCskdmc1WK+3fbKGkq2VlC6tYLSrZXMKS3nuXe908WS4mM4Li+DgvyM5l62wX1TiAnx109ERCScFM5C9OqybTwwdy1lFdXkZSZzx+RRXDo+tGHDzvT6yu3UN7qQVmm2NPrMieS+723tcd313wCgePdSnvj3h1xz+hAyeh2692zfsh3Ubd6DawxQ/vN3SZ88mJTx/Y7smwj659od3PbCcj43uA+/+fIJJMXH8my5V+M911/RoffKyUgiJyOHycd5e7w55/jok/2UbK2gZIvXy/bcu5t54q1NAKQlxbUaDi0cmEFOehJmCmzdXfn2WVRVlREI1PLWW99l6LDbyc2ZHu2yRKQHUTgLwavLtnHnzBVU1zcCsK2imjtnrgDwXUCbtXwbQ7NTOC4v/ajf6+bzRvDXVdt57N8b+c4Fo9q9bt+yHVTM/ADX6J0N2lhRS8XMDwCOOKAt/Wg3Nzy9lJH903js6pPCPk/MzBiclcLgrJTmINvQGOCDHXtbzV+b8a+NNAS8cxOy0xIpbA5rmRQMyKB3SkJY65LoKt8+izVr7iIQ8LZfrKktY82auwAU0ESk0yicheCBuWubg1mT6vpGHpi71lfhrLyymkUf7uaWSSPD0sMzOjedi4/P4Ym3NnHNGUPI7NV2EKmauwlX3/rQdlcfoGrupiMKZ2u2V/G1JxaTk57Ek1+f0GkrLuNiYxidm87o3HS+9Dmvraa+kffLqyjd4g2HlmytYN6aHbjgOVeD+vRqNRw6dkAGKYn6Y9VVbdzwIIFAdau2QKCajRseVDgTkU6jf0VCUFZR3aH2aJldUo5zMG1cXtje8+ZJI3l95Xb+sGAjd0w+ts1rGiva3mOsvfZD2fzJfq7647skJ8Ty52tOJjvt4APZO1NSfCwnDOrNCYN6N7ftqalnxbZKL6xtqWDZ5gpml5YDEGMwol+aNxw6MJPC/AyOzUkPaUsTib6a2vIOtYuIRILCWQjyMpPZ1kYQy8tMjkI17ZtVso3C/AyGZKWE7T1H5aRx8fG5/OmtTVxzxlD6tDGMF5uZ2GYQi83sWLDasaeGrz6+iNqGAC/dcCoD+/Q64rojKS0pntOGZXHasKzmtl17a73h0OD8tX+s2cFLS7cCkBAbw+jcNG8PtvwMxg3MZGh2asgLNqTzJCXmUlNb1ma7iEhnUTgLwR2TR7WacwaQHB/LHZPbn4fV2dbv2MvKbVX8aMqYsL/3LZNG8NqKcv6wYCPfu/Dg3rP0yYO9OWb1n7VZfAzpkweH/BmV1fVc/fhidu6p5elrT2Zk/7QwVN55slITOffY/px7bH/AW3CwraK6OayVbK3glWXb+PM73mn3KQmxjB2Q4c1dCw6L5vdO1oKDKBs67PbmOWZNYmKSGTrs9ihVJCI9kcJZCJrmlfl5tWZRSRlmMLUg/P/DH9E/jSkFeTz59iauPWMIfVNb94g1zSuzl5fjGgPEZiZ2aLVmdV0j1z65mPU79vDHqz/XagixqzIz8nv3Ir93Ly4J3pNAwLFx115Ktnhz10q2VvKntzZRF1xI0Scl4bPVocGfoz2s29M0zSuLWeyt1kxKzNNqTRHpdApnIbp0/ABfhbGWnHPMWr6N04b1pV96UkQ+4+ZJw5ldWsaMBRu586LRBz2fMr4fCe96vV25108I+X3rGwPc+Ox7LPnoU359xfhWe5N1NzExxvB+aQzvl8YXTswHoK4hwNrte1rtwfavdR8QXCCqI6miIDdnOunp3pYtp59+S3SLEZEeSeGsGyjZWslHn+znxonDI/YZw/ulMa0wj6fe/ohvnDmUrNSj79EJBBx3vFTCP9bs4Cf/MZYpBeFbyNBVJMTFcHx+BsfnZwDHALC/roGV26p0JJWISA+lcNYNzFq+jYS4GC4cmxPRz7lp0giKS8qY8a+N/ODig3vPOsI5x49nv8+ry8u4Y/IovnLyMWGqsuvrlRB3hEdSfTYcqiOpRES6LoWzLs45R3FJOeeO6hfx4a5h2alMHzeApxZu4rqzjq737Ffz1vOnt7390/77nGFhrLJ7Cu1IqjKee3czcPCRVIUDMxnct5cWHIiIdAEKZ11cVU0Du/bWMj2Me5sdyrfPHc6s5dv4/ZsbuOuSI1sZ+tTCTTz093V84YR87rp4tALDEerokVTpSXHN23noSCoREf9SOOviPtlbS1piHBOPPbpzLEM1NDuVS8cP4M/vfMQ3zhpKv7SOLUCYtXwb9xSt4rzR/fnFF47X4eJhdORHUgWHQ3UklYiILxw2nJnZEuAJ4Fnn3KeRL0lCFQg4du+r5z9OGNDuhPB1i7bz8YeVNDY4nvzBW5w6fRgjTz66uWnfPncEs5aX8fs3N3ZoX7X5a3fwnRdLggeZj9ecqE4Q6pFUf1/9cfNrdCSViEh0hfI37uXA14DFLYLaG841nS4o0VJRXU+jc+0Oaa5btJ35z6yhMcG7VXt31zL/mTUARxXQhmSlcOm4ATz9zkdcf9bQkLbvWPrRbr759FJG5UTmIHMJXVtHUlXV1LNya2Vz75qOpBIRiZ7DhjPn3HrgLjP7ETAFeBwImNnjwCPOud0RrlHasWtvLfGxxqlD+7b5/MJZG2ioC0CLUaqGugALZ2046t6zmyYN59Xl2/i/Nzdwz9TjDnnt6nLvIPPcjOROPchcQpeeFM9pw7M4bXj7R1LNa+NIKu+EAy+w6UgqEZHwCGmswswK8HrPLgb+AjwDnAH8AxgXqeKkfe9s/IRP99eTk57Y7vDg3t1tHzzeXntHHNM3hc+PH8AzizZzw9nD6N9O79nmT/Zz1ePv0ishjqe+PiEs+6NJ52jrSKqtn1a32NKjgpnvbeOphTqSSkQknEKZc7YUqAD+CHzfOdf0L/siMzs9grVJO8orq/nWs++RFB/DgN7tHw6e2iexzSCW2ic8Aenb547glWXb+L9/buDeaQf3nu2oquHKPy6ivjHAs9f79yBzCY2ZMbBPLwb20ZFUIiKRFErP2RedcxvbesI59/kw1yOHUdvQyA1Pv0d1XSMj+6URd4hhpFOnD2ueY9YkLiGGU6eHZ1+xQX178YUT8nn2Xa/3rKXK/fVc9fi77NpbyzPXnsyILnaQuYTmaI6kato0d6yOpBIRaSWUcHatmf2vc64CwMx6A99xzv0wopVJm+4tWkXJlgoevfJEnnjrw0Ne2zSv7LlXltPY4EjtkxiW1Zotfevc4fzlva387p/rm9uq6xq55snFbNi5l8f/63OM7wYHmUvodCSViMjRCSWcXeSc+0HTA+fcp2Z2MaBw1smee3czz727hRsnDuPCsTmHDWfgBbT+yzMAuPr6U8Ne08A+vfjiSfk8/+4WxuSlER8bw38/s5Slmz/lN1ecwJkjuu9B5hK6wx1JtXzLwUdSjcpJazUcqiOpRKSnCCWcxZpZYtNcMzNLBjRppJMt2/wp98xaxVkjs7nt/FHRLqeVGycO5+WlWymrqKEx4PhkXx0//Y/jm+clibTlaI6kGhdcJaojqUSkOwolnD0NzDOzJwAHfB14MqJVSSs799Tyzaffo39GIr+6fJzvtivI792LL540kGcXef+I3jF5FF8+eVCUq5Ku6GiPpBo3MJOcjI6dWiEi4jeh7HP2v2a2ApgEGPA/zrm5Ea9MAKhvDHDjs+9RUV3HzG+eTmYvfx6tc+PE4by4eAvZaYk6yFzC5nBHUi3fcvCRVP3SEj8bDtWRVCLSBYW0z5lz7nXg9QjXIm342WtrePfD3Tz8pXGMyUuPdjntGpCZzAmDMjEzDTNJRB3NkVRNw6FjB6TTK0FHUomIP4Wyz9kpwK+B0Xh7zccC+5xz/k0K3cSs5dt4/K0P+drpg7l0/IBol3NYCmUSLTqSSkS6k1D+6/gbvPM1XwJOAq4ChkeyKIFVZZV87y+lTBjShx9cPDra5Yh0OW0dSbVzTy0rth3iSKq8dArzM9i5p5b0JPWsiUh0hDqsud7MYp1zjcATZvZ2hOvq0Sr213HD00vJTE7gt18+gfgusH3AvmU7qNu8B9cYoPzn75I+eTAp4/tFuyyRVrLTQjuSam9tAwD/8bu3mFqQx5SCXPq1c0SZiEi4hRLO9ptZArDczP4XKAdSIltWz9UYcNz0/HI+rqzlhetP6RJH3exbtoOKmR/ggkf2NFbUUjHzAwAFNPG19o6kmv7bt6jYX0dNfYAfz36f++e8zylD+zK1MI+Lxub4dmGOiHQPoXTJfDV43beAfcBA4AuRLKone+hv6/jXup3cN/24LrOzftXcTbj6QKs2Vx+gau6m6BQkchRiYoxeCbHkZSbz+s1n8vfbzuJb546gvLKGO2eu4HM/+TvX/Gkxry7bxr5gD5uISDgdsufMzGKBnzjnrgRqgPs6paoeau6q7fxm/nou/9xArpjQdfYJa6w4+HD1Q7UfjRcicMqByKEM75fGbeencet5I1i5rYri0jKKS8qYt2YHSfExTBrdn2mFeZw9MltHTolIWBwynDnnGs0s28wSnHN1nVVUT7R+x16+82IJhQMzuW/6cdEup0NiMxPbDGKxmf4fkhUJlZk1nxn6/QuPZclHn1JcUsZrK8qZU1pOWlIck4/LYVphHqcN66ujpkTkiIUy52wT8JaZFeENawLgnPtlpIrqafbU1HP9n5eQGBfD/33lBBLjutb/vtMnD/bmmNV/1mbxMaRPHhy1mkQiKSbGms8KvWfqGN7a8AlFy8uYu3I7Ly/dSt+UBC4+Ppdp4/I4cVBvYnx2qoeI+Fso4aws+CMGSItsOT2Pc47bXyph0yf7eebak8nLTI52SR3WNOnfXl6OawwQm5mo1ZrSY8TFxnD2yGzOHplNTf1Y/rl2J8UlZby4ZAt/fucj8jKSmFKYx7TCPI7LS9d+gCJyWKEc36R5ZhFUVlnDu5s+5UdTxnDK0L4hv678vvvYv8VbMLD6V98g87IvknvPPZEq87BSxvcj4V0vu+dePyFqdYhEU1J8LBeOzeHCsTnsrW3g7+9/TFFJGY//+0Nm/GsjQ7NSmoPa8H6p0S5XRHwqlBMC5uMdeN6Kc+7ciFTUg+yrbWDrp9VMH5fH108fHPLryu+7j4rnnoczvuk1NDZ6jyGqAU1EPpOaGMel4wdw6fgBVOyv4/WV2ylaXsav//EBv5r3AWNy05k2zttDLb93r2iXKyI+Esqw5u0tvk7C20ZD68fDoLq+EYCbJ43o0FBHxYsvtduucCbiP5m9ErhiwiCumDCIj6tqmFNaTlFJGT9/fQ0/f30NJx7Tm2mFeVx8fG6X2NtQRCIrlGHNpQc0vWVmb0aonh6lIeB1SHZ4Q8vGxo61i4hv9E9P4utnDOHrZwxh8yf7m7fmuKdoFfcVr+K0YVlMK8xj8nE5ZPSKj3a5IhIFoQxr9mnxMAY4EciJWEU9SGOjF87SOnqGX2xs20Estmut8hTp6Qb17cWNE4dz48ThrPt4D8UlZRSVlPHdv5Tyw1dXctbIbKaNy+O80f3olaCzPkV6ilD+tC/Fm3NmeMOZHwLXRLKonqIh4IgxOnx2ZuZlX2yeY3Zgu4h0TSP7p/GdC0Zx2/kjKd1aSVFJGbNLy/j76o9Jjo/l/DH9mVqYx1kjs7rcdjsi0jGhDGsO6YxCeqLGgCP2CPY/ap5XtiXYEBsb9dWaIhIeZkbhwEwKB2byg4tHs3jTbopKynh9hTdPLT0pjovG5jK1MI9Th/U9or9DRMTfQhnWvBF4xjlXEXzcG7jCOfe7CNfmO1/6/UIgfEcINQQCxMUc2S7iuffcQ69gPaMfuyks9YiIv8TGGKcM7cspQ/ty37Tj+Pf6XRQv93rUXliyhazURKYU5DK1MJcTBvXWHmoi3UQow5rfcM79tumBc+5TM/sG0OPCWbgdac+ZiPQ88bExTBzVj4mj+lFT38j8NTsoKinj2Xc386e3NzEgM5mpwT3URuemKaiJdGGhhLMYMzPnnIPmw9A7uLxQ2tIYcB2ebyYikhQfy0XH53LR8bnsqannb8HNbv+wYCOPvrmBYdkpTCscwLRxeQzJSol2uSLSQaGEs7nAi2b2KN7CgBuAv0a0qh6iIeBIitf/bkXkyKUlxfP5E/L5/An57N5Xx2sryikuKePheet46O/rGDsgnWmFeUwpyOuSx8OJ9EShhLPvAdcB38RbsfkG8Fgki+opGgOOOA1rikiY9ElJ4MpTjuHKU46hvLKaOaVeUPvpa2v46WtrmDC4D1MLc7n4+Fz6pmqzWxG/CiWcJQN/cM49Cs3DmonA/kgW1t0552jQnDMRiZDcjGSuPXMo1545lE279jXvofajWau4t/h9Th/ubXZ7wXH9SU/SZrcifhJKOJsHnAfsDT5Oxus9Oy1SRfUE++u8TWTjYhXORCSyBmel8O1JI/jWucNZ+/EeipaXUVxaxu0vlZDwSgwTR2UzrXAA5x7bj+QE7aEmEm2hhLMk51xTMMM5t9fMdErvUaqqqQdQz5mIz5Rvn0VVVRmBQC1vvfVdhg67ndyc6dEuKyzMjGNz0jn2wnTumDyK5VsqgpvdljN31cekJHib3U4bl8cZw7NJiNOCJZFoCCWc7TOzE5xz7wGY2YlAdWTL6v6qqr2z42OPcJ8zEQm/8u2zWLPmLgKBawGoqS1jzZq7ALpNQGtiZowf1Jvxg3rzw0vGsGjjJxSXlvHaiu28uryMzF7xXDQ2h6mFeZw8RJvdinSmUMLZLcBLZlYWfJwLfCliFfUQldVez5kWBIj4x8YNDxIItP6/ZyBQzcYND3a7cNZSbIxx2vAsThuexX3TxrLgg50Ul5Qxa3kZz727hX5piVxSkMu0wjzGDczUHmoiERbK8U2LzexYYBTeas01zrn6iFfWzVVVa1hTxG9qass71N4dJcTFMGl0fyaN7k91XSPz1nxMcUkZz7yzmSfe2sTAPslMLchj2rg8js1Jj3a5It1SKD1n4AWzMUASMN7McM49Fbmyur+mOWfqORPxj6TEXGpqy9ps74mSE2KZUuDtkVZVU8/cldspLi3n9//ayO/+uYGR/VOZVpjH1MI8jumrzW5FwiWUszXvAc7BC2evARcB/wYUzo6Ces5E/GfosNub55g1iYlJZuiw26NUkX+kJ8XzxZMG8sWTBrJrb23zQewPvrGOB99YR2F+BlODm93mZCRFu1yRLi2UnrP/BAqBZc65r5lZf0LchNbMLgQeAWKBx5xzPz/g+a/gbXIL3lYd33TOlZjZKOCFFpcOBe52zj0cyud2BVU1TQsCFM5E/KJpXlnMYm+1ZlJiXrdarRkuWamJfPXUwXz11MFsq6hmTqm3h9r9c1bzk9dWM2FwH6aNy+Pisbn0TtFpfyIdFUo4q3bOBcyswczSgR14YemQgpvV/hY4H9gKLDazIufc+y0u+xA4O3iY+kXADOBk59xaYFyL99kGvNKB78v3qqrriTGI0cTakJWWljJv3jwqKyvJyMhg0qRJFBQURLss6WZyc6aTnr4QgNNPvyW6xXQBAzKTue6sYVx31jA27txLcUk5RSXbuOuVldwzaxVnjGja7DaH1MRQZ9KIRMdftu/mZxvL2VZbz4DEeO4cmssXcvp0eh2h/ElZYmaZwB+ApXg9XO+G8LoJwHrn3EYAM3semA40hzPn3Nstrn8HyG/jfSYBG5xzH4XwmV1GVU29es06oLS0lOLiYurrveHgyspKiouLARTQRHxiaHYqN583gpsmDef98iqKS7zjo257sYTEuBWce2w/phXmMfHYfiTFa7Nb8Ze/bN/N7Wu3UB1wAGytref2tVsAOj2ghbJa87+DXz5qZn8F0p1zpSG89wBgS4vHW4GTD3H9NcDrbbRfDjwXwud1KVXVDcRpj7OQzZs3rzmYNamvr2fevHkKZyI+Y2Ycl5fBcXkZfO/CUby3+VOKlpcxZ0U5r6/cTmpiHBeM6c/UcXmcMTyL+Fj9XSjR97ON5c3BrEl1wPGzjeX+C2ctOec2deDytrqFXBttmNlEvHB2xgHtCcA04M52P8TsOryD2Rk0aFAHyouuzuw5e+H6UzvlcyKpsrKyQ+0i4g9mxonH9OHEY/rwoyljeGfjbopKtvH6yu3MXLaNPikJzZvdThjchxiNKEiUbKtte5ew9tojKZITALYCA1s8zgcOWqNuZgV4Cwwucs59csDTFwHvOec+bu9DnHMz8OaqcdJJJ7UZ/vyoqqZe22h0QEZGRptBLCMjIwrViMiRiIuN4YwRWZwxIov/uXQs/1q3i6KSMma+t41nFm0mJz2JKQW5TBuXx/EDMrTZrXSqAYnxbG0jiA1IjO/0WiIZzhYDI8xsCN6E/suBL7e8wMwGATOBrzrn1rXxHlfQDYc0wRvW1Jyz0E2aNKnVnDOA+Ph4Jk2aFMWqRORIJcZ553ieP6Y/++sa+PvqHRQtL+PJhZt47N8fMrhvL6YW5jGtMI8R/dOiXa70AHcOzW015wwgOca4c2jn73MYUjgLrpjs3/J659zmQ73GOddgZt8C5uJtpfG4c26Vmd0QfP5R4G6gL/C74P+QGpxzJwU/sxfeSs/rO/pNdQVVNfUk6lDhkDXNK9NqTZHup1dCHNOCQaxyfz1zV22nqKSM385fz6//sZ5jc9Kag9rAPr2iXa50U03zyrrEak0z+zZwD/AxEAg2O+Cw/yo6517D27i2ZdujLb6+Fri2ndfuxwtu3Y5zjqrqem3U2EEFBQUKYxJx5dtnUVXl7XP21lvf1T5nnSyjVzyXfW4gl31uIDv21PD6Ci+oPTB3LQ/MXcv4QZlMLchjSkEu/dL1d6iE1xdy+kQljB0olJ6zm4FRbcwHkyO0r66RgNPRTSJ+U759FmvW3EUg4P2fsaa2rPnEAAW0ztcvLYmrTxvM1acNZsvu/cwu9bbm+PHs97l/zvucMrQvUwvzuGhsDpm9tNmtdB+hhLMtgJbEhdFnRzdpWFPETzZueJBAoLpVWyBQzcYNDyqcRdnAPr345jnD+OY5w1i/Yw9FwT3U7py5grtnreSsEdlMLczj/DH9SdFmt9LFhfI7eCPwTzObA9Q2NTrnfhmxqro5HXou4k81teUdapfoGN4vjdvOT+PW80awqqyKopIyikvKmLdmB0nxMUwa3Z9phXmcPTJbm91KlxRKONsc/JEQ/CFHqapa52qK+FFSYi41tQft+ENSYuev1pLDMzPGDshg7IAMvn/hsSwNbnb72opy5pSWk5YUx+TjcphWmMdpw/oSp81upYsI5YSA+wDMLM176PZGvKpurmlYUz1nIv4ydNjtzXPMmsTEJDN02O1RqkhCFRNjfG5wHz43uA/3TB3DWxs+obikjLkrt/Py0q30TUng4uO9PdROHNRbm92Kr4WyWnMs8GegT/DxLuAq59yqCNfWbTUNa6rnTMRfmuaVxSz2VmsmJeZptWYXFBcbw9kjszl7ZDb3XzqWf67dSXFpGS8t3cKf3/mIvIwkpgS35jguL12b3YrvhDKsOQO4zTk3H8DMzsE7BP20yJXVvX22IEB/IYj4TW7OdNLTFwJw+um3RLcYOWpJ8bFcODaHC8fmsLe2gb+//zHFJWU8/u8PmfGvjQzNSmFqYR5TC/MY3i812uWKAKGFs5SmYAbgnPunmaVEsKZur6rGm3OmYU0Rkc6TmhjHpeMHcOn4AVTsr+P1ldspLinjV//4gEfmfcCY3HSmjfP2UMvvrc1uJXpCWq1pZj/CG9oEuBL4MHIldX9V1fWkJMT6riu9OxyQLiISisxeCVwxYRBXTBjEjqoaZpeWU1RSxs9fX8PPX1/Dicf0ZlphHhcfn0t2WmK0y5UeJpRw9nXgPrwzMA34F/C1SBbV3VXV1JOe3PkHqYqIyMH6pSfx9TOG8PUzhrBl9/7mrTnuKVrFfcWrOG1YFtMK85g8NocM/d0tnSCU1ZqfAjd1Qi09RlV1A+lJ+gMuIuI3A/v04saJw7lx4nDWfbyH4pIyikrK+O5fSvnhqys5e5S32e15o/vRK0Gb3UpktPs7y8weds7dYmbFeGdptuKcmxbRyroxr+dMf6hFRPxsZP80vnPBKG47fyQrtlVStLyM2aXl/O39j0mOj+X8Mf2ZWpjHWSOzSIzTZrcSPodKCE1zzB7sjEJ6kqqaevqnJbG3tiHapYiIyGGYGQX5mRTkZ/KDi0fz7qbdFJd4m90WlZSRnhTHRWNzmVqYx6nD+molvhy1dsOZc25p8MtxzrlHWj5nZjcDb0aysO6sqrqBEf3iFc5ERLqYmBjjlKF9OWVoX+6ddhz/Xr+L4uVlzFlRzgtLtpCVmsiUAi+onTAo03cLv6RrCGVs7WrgkQPa/quNNglRVU096UlxHHxIjIiIdBXxsTFMHNWPiaP6UVPfyPw1OygqKePZdzfzp7c3MSAzmanBzW5H56YpqEnIDjXn7Argy8AQMytq8VQa8EmkC+uunHNUVWu1pohId5IUH8tFx+dy0fG57Kmp52/vf0xRSRmPLdjIo29uYFh2CtMKBzBtXB5DsrRVqBzaoXrO3gbKgSzg/7Vo3wOURrKo7mxfXSMBh1Zrioh0U2lJ8Xz+hHw+f0I+u/fV8frKcoqWl/HwvHU89Pd1jB2QzrTCPKYU5JGXmRztcsWHDjXn7CPgI0A7k4ZR09FNWq0pItL99UlJ4CsnH8NXTj6G7ZU1zC719lD76Wtr+Olra5gwuA9TC3O5+Phc+qZqs1s/+NLvvePborkxeygHn58C/BoYDSQAscA+51x6hGvrlpoOPVfPmYhIz5KTkcS1Zw7l2jOHsmnXvuY91H40axX3Fr/P6cO9zW4vOK6//o3o4ULpvvkNcDnwEnAScBUwPJJFdWdV1d4KzXDMOdNxSyKRoT9bEmmDs1L49qQRfHvSCNZsr6JoeRnFpWXc/lIJCa/EMHFUNtMKB3Dusf1ITtAeaj1NSGNrzrn1ZhbrnGsEnjCztyNcl++8umwbyzZXUNcY4PSf/4M7Jo/i0vEDDr6w9EWY92Oo3AoZ+TDpbii4rPnpyuCwZukniyjduZW6QB0XvHwPN59wM5cMvaSzvh0RaUf59lls3PAgNbXlJCXmMnTY7eTmTI92WdKNHZuTzrEXpnPH5FEs31JBUUkZc0rLmbvqY1ISvM1up43L44zh2STExUS7XOkEoYSz/WaWACw3s//FWyTQo5aavLpsG3fOXEFdYwCAbRXV3DlzBUDrgFb6IhTfBPXV3uPKLd5jaA5oTXPO/rDyEeoCUwEo31fOvW/fC6CAJhJF5dtnsWbNXQQC3p/hmtoy1qy5C0ABTSLOzBg/qDfjB/Xmh5eMYdGHnwQ3u93Oq8vLyOwVz0Vjc5hamMfJQ7TZbXcWSgT/Kt48s28B+4CBwBciWZTfPDB3LdX1ja3aqusbeWDu2tYXzvvxZ8GsSX211x7UNOesjspWl9U01vDIe9o6TiSaNm54sDmYNQkEqtm4QQelSOeKjTFOG5bFzz5fwOK7zuPx/zqJc0ZmM2t5GV/+wyJO/dk87itexbLNn+LcQScsShcXysHnHwW/rAbui2w5/lRWUR1ae+XWtt+gRXvTnDNiaw66bPu+7UdUn4iER01teYfaRTpDQlwM5x7bn3OP7U91XSP/WLODopJtPLNoM0+8tYmBfZKZWpDHtHF5HJujtXrdwaE2oV1BGweeN3HOFUSkIh/Ky0xmWxsB7aD9aTLyvaHMA2XkN39ZVVOPxdRhFjjospyUnKOuVUSOXFJiLjW1B5/dkZSYG4VqRA6WnBDLJQW5XFKQS1VNPW+s8ja7/f2/NvK7f25gZP9UphXmMbUwj2P69qgZSN3KoYY1pwBTgb8Gf3wl+OM14OXIl+Yfd0weRXJ869UyyfGx3DF5VOsLJ90N8QcEtvhkrz2oqrqejOQEkmKTWl2WFJvEzSfcHNa6RaRjhg67nZiY1n+GY2KSGTrs9ihVJNK+9KR4/vPEfJ76+gQW/WAS/3PpWDKTE3jwjXWc/cA/mf6bf/PYgo1srzx4pEb87XCb0GJmpzvnTm/x1PfN7C3gx22/svtpmvR/6wvLccCAzOS2V2s2rco8xGrNqpp6+qemcdNp93L7Jm+1Zm5KrlZrivhA06R/rdaUriYrNZGvnnIMXz3lGMoqqpld6u2hdv+c1fzktdVMGNyHaePyuHhsLr1TEqJdrhxGKKs1U8zsDOfcvwHM7DR62GpN8ALa/8x+n721Dbz1/XPbv7DgslZh7EBV1Q2kJ8dxydBLeCo7uAvxf3473OU2W7doOwtnbWDv7lpS+yRy6vRhjDxZw6ci7cnNma4wJl1aXmYy1501jOvOGsbGnXspLimnqGQbd72ykntmreKMEU2b3eaQmqjTavwolLtyDfC4mWUEH1cAX49YRT4WHxtDXWMA5xxmR7aEuaqmnpz0pMNfGAbrFm1n/jNraKjz5rft3V3L/GfWACigiYj0AEOzU7n5vBHcNGk4q8v3UFTiHR9124slJMat4Nxj+zGtMI+Jx/YjKV6b3fpFKKs1lwKFZpYOmHOu8nCv6a4S4gznYE9twxEfrVFVU8/I/mlhrqxtC2dtaA5mTRrqAiyctUHhTESkBzEzxuSlMyYvne9dOIr3NldQXFLG7NJyXl+5ndTEOC44rj9TC/M4Y3gW8bHa7DaaDrVa80rn3NNmdtsB7QA4534Z4dp8p+k36649tUcezqobSE/qnG7kvbtrO9QuIiLdn5lx4jG9OfGY3vzwktG8s3E3xSVlvL6ynJnvbaNPSkLzZrcTBvchRpvddrpDpYSmeWWd083TBTSFs517ahmandrh1wcCjj019WE5VzMUqX0S2wxiqX0SO+XzRUTE3+JiYzhjRBZnjMjix5cex7/W7aK4pIyZ73n7qOWkJzGlIJdp4/I4fkDGEU/pkY451GrN3wd/7pEbz7YlPtb7Tblz75H1PO2rayDgIKOTwtmp04e1mnMGEJcQw6nTh3XK54uISNeRGOed43n+mP7sr2vg76t3ULS8jCcXbuKxf3/I4L69mFqYx7TCPEZ00vScnupQw5q/OtQLnXM3hb8cf2s5rHkkqmq80wGOdEi0o5rmlWm1poiIdESvhDimBYNY5f565q7aTlFJGb+dv55f/2M9x+akNQe1gX16RbvcbudQw5pLO62KLuDVZdtYsdVbC/HgG+vI7JVw8D5nh9F06Hl6cuctXR55co7CmIiIHLGMXvFc9rmBXPa5gezcU8trK8opKinjgblreWDuWsYPymRqQR5TCnLp10m7EXR3hxrWfLIzC/GzV5dt486ZK6gPeKdZ7a1t4M6ZKwA6FNCaw1kn9ZyJiIiEU3ZaIlefNpirTxvM1k/3M7u0nKLlZfx49vvcP+d9Thnal6mFeVw0NofMXtrs9kgdtgvHzLKB7wFjgOZI7Jw7xE6s3csDc9dSXd/Yqq26vpEH5q7tWDhrGtbspDlnIiIikZLfuxc3nD2MG84exvodeykO7qF258wV3D1rJWeNyGbauDzOG92fFG122yGh/Go9A7wAXALcAFwN7IxkUX5T1sah54dqb496zkREpDsa3i+VW88fyS3njWBVWVVzUJu3ZgdJ8TFMGt2faYV5nDMqm8Q4bXZ7OKGEs77OuT+a2c3OuTeBN83szUgX5id5mclsayOI5WUmt3F1+6pqOn/OmYiISGcxM8YOyGDsgAy+d+GxLN38KcUlZcwpLWdOaTlpSXFMPi6HaYV5nDasL3Ha7LZNoaSE+uDP5WZ2CVAG5EeuJP+5Y/Io7py5otXQZlJcDHdMHtWh96mq9oY1dZaZiIh0dzExxucG9+Fzg/tw95QxvL3hE4pKypi7cjsvL91K35QELj7e20PtxEG9tdltC6GkhPuD52p+B/g1kA7cGtGqfKZpXtl3Xy6lrtHbM+xHU8Z0fLVmTT2piXH6n4KIiPQocbExnDUym7NGZnP/pWN5c91OikrKeGnpFv78zkfkZSQxJbg1x3F56T1+s9tQwtmi4HmalcDECNfTZewJTu7viKrq+k47uklERMSPkuJjmXxcDpOPy2FfbQN/X/0xRcvLeOKtD5nxr40MzUphamEeUwvzGN6v46fxHI3vrd3Mwoq9AAyYv5wr8/rwi1GDOrUGCC2cvW1mH+ItCpjpnPs0wjX5TtNWGk29ZgC//Ns6cjKSOrhas/OObhIREfG7lMQ4po8bwPRxA6jYX8dfV3qb3f7qHx/wyLwPGJObzrRx3h5q+b0ju9nt99Zu5smy3TRtANIIPFm2G6DTA9phx9eccyOAHwLHAUvNbLaZXRnxynykra006hoDPDB3bYfexzv0XOFMRETkQJm9Erh8wiCe/cYpLLpzEvdMHUNifAw/f30NZ/xiPl/4v7d58u1N7DzCU3oO5+lgEAu1PZJCmvzknHvXOXcbMAHYDfSoDWrDtpVGTb1WaoqIiBxGv/Qkvnb6EF7579NZ8N2J3DF5FPtqG7inaBUn//TvXPnYIl5cvIXK6vrDv1mIGjvYHkmhbEKbDvwHcDkwDHgFL6T1GOHcSmOUDosVEREJ2cA+vbhx4nBunDicDz7eQ1FJGUUlZXz3L6X88NWVnD0qm6mFeZw3uh+9Eo68AySWtoNYNHZlC+W7KAFeBX7snFsY2XL8qa2tNGLNjmgrDc05ExEROTIj+qfxnQtGcdv5I1mxrZKi5WXMLi3nb+9/THJ8LOeP6c/UwjzOGpnV4c1ur8zr0zzH7MD2zhZKOBvqnHMAZjbFOTc7wjX5zoFbacTHGsOyUzu0GCAQcOyp6d6rNV+4/tRolyAiIj2AmVGQn0lBfiY/uHg0izftpqikrPlQ9vSkOC4am8vUwjxOHdaX2BD2UGua9P9c8BCkWPDvas2mYBb0Y6DHhTPwAtpz724GvE1kyyprOvT6fXUNBFz4ztWsLC5mx0MP01BeTlxuLv1uvYWMqVPD8t4iIiJdRUyMcfLQvpw8tC/3TjuOt9bvoqikjDkrynlhyRayUhOZUuAFtRMGZR5yD7VfjBrEpsxtALwwcVwnfQcH62g3Ts/eFS4oOy2R0m2VHXpN86HnYVitWVlcTPmP7sbVeAGxoayM8h/dDaCAJiIiPVZ8bAznjOrHOaP6UVPfyPw1OyguLeO5dzfzp7c3MSAzmanBzW5H56b5drPbjoaz6yNSRReTnZbIJ3traQy4kLpKocWh52FYrbnjoYebg1kTV1PDjoceVjgTERHB2+z2ouNzuej4XPbU1PO39z+muKSMxxZs5NE3NzAsO4VphQOYNi6PIVkp0S63lVBWa34R+Ktzbg8w2cy+D9zvnHsv4tX5VFZqIgEHu/fVkZ2WGNJrmsNZGHrOGsrLO9QuIiLSk6UlxfP5E/L5/An57N5Xx+sryykuKePheet46O/rGDsgnWmFeUwpyIt2qUBoPWc/cs69ZGZnAOcD/w/4P+DkiFbmY02BbNfe2tDDWdOwZhjmnMXl5tJQVtZmu4iIiLSvT0oCXzn5GL5y8jFsr6xhdmkZxaXl/PS1Nfz0tTWkJcbRNzWBmvpGkuKjsZFGaJvQNu0fcQnwqHNuFjSfbtAjNQWyjuxSXBnGnrN+t96CJSW1arOkJPrdestRv7eIiEhPkZORxLVnDmXWjafz5h3ncPsFI2kIOLZ+Wk1ciNOWIiGUnrNtZvZ74DzgF2aWSIgnC3RXWakdD2fhnHPWNK9MqzVFRETC45i+KXzr3BEs+GAX9Y0B4mKjF3VCSQqXARcCDzrnKswsF7gjsmX5W8thzVBV1XjhLDUxPPucZUydqjAmIiISAfFRDGYQWjjLBeY452rN7BygAHgqkkX5XUpCLMnxsR3sOWsgNTEuqklcRERE/C+UpPAXoNHMhgN/BIYAz0a0Kp8zM7LSEjrcc9adTwcQERGR8AglnAWccw3A54GHnXO34vWm9WjZqYns7Eg4q67XuZoiIiJyWKGEs3ozuwK4is+OburxKSM7LbFjw5o19WFZqSkiIiLdWyjh7GvAqcBPnHMfmtkQ4OnIluV/WamJ7NpbF/L1VdUNYVmpKSIiIt3bYcOZc+594HZghZmNBbY6534eypub2YVmttbM1gdPFjjw+a+YWWnwx9tmVtjiuUwze9nM1pjZajM7tQPfV8RlpyWye18d9Y2BkK73e8/Z6gXzmXHj1/h/l09lxo1fY/WC+dEuSUREpEcK5fimc4AngU14B58PNLOrnXP/OszrYoHf4p0qsBVYbGZFwbDX5EPgbOfcp2Z2ETCDz04eeATv2Kj/NLMEoFdHvrFIa9rr7JO9deRkJB3man/POVu9YD5vzPgNDXXeMO2eXTt5Y8ZvABh95sRoliYiItLjhDKs+f+AC5xzZzvnzgImAw+F8LoJwHrn3EbnXB3wPDC95QXOubedc58GH74D5AOYWTpwFt7qUJxzdc65ihA+s9N0ZK+zQMCxp7bBt6s1Fzz/VHMwa9JQV8uC53v0jikiIiJREUo4i3fOrW164JxbR2gLAgYAW1o83hpsa881wOvBr4cCO4EnzGyZmT1mZm0eGW9m15nZEjNbsnPnzhDKCo+OHOG0t64B58JzrmYk7PlkV4faRUREJHJCCWdLzeyPZnZO8McfgKUhvK6tQ6lcmxeaTcQLZ98LNsUBJwD/55wbD+wDDpqzBuCcm+GcO8k5d1J2dnYIZYVHdgeOcKoK47makZDWN6tD7SIiIhI5oYSzG4BVwE3AzcD7wbbD2QoMbPE4Hyg78CIzKwAeA6Y75z5p8dqtzrlFwccv44U132g+XzOEYc2q6gbAvz1nZ15+FXEJia3a4hISOfPyq6JUkYiISM91yElQZhYDLHXOjQV+2cH3XgyMCG69sQ24HPjyAe8/CJgJfDU4XAqAc267mW0xs1HBIdVJeKHQN5ITYklLjAut56wmfIeeR0LTpP8Fzz/Fnk92kdY3izMvv0qLAURERKLgkGnBORcwsxIzG+Sc29yRN3bONZjZt4C5QCzwuHNulZndEHz+UeBuoC/wOzMDaHDOnRR8i28DzwRXam7E22/NV7LS2j4l4Eu/XwjAC9d7u3/4fVgTvICmMCYiIhJ9oR58vsrM3sWb+wWAc27a4V7onHsNeO2AtkdbfH0tcG07r10OnNTWc36RnZrIrpB6zrxhzQyfDmuKiIiIf4QSzu6LeBVdVHZaIqu3Vx32uq7QcyYiIiL+0G44M7PhQH/n3JsHtJ+FN4esx8tKTQix58wLZ6k+3edMRERE/ONQqzUfBva00b4/+FyPl52WSFVNAzX1jYe8rqq6gbTEOGJj2tpdREREROQzh+rKGeycKz2w0Tm3xMwGR64k/2qa4N+k5SkB+b3bP12qqsa/RzeJiIiIvxyq5+xQB0Ymh7uQrqhpr7Nde+sOeV1VdT1pGtIUERGREBwqnC02s28c2Ghm1xDaCQHdXqhHOKnnTEREREJ1qO6cW4BXzOwrfBbGTgISgP+IcF1dQsjhrLqBvEx1NoqIiMjhtRvOnHMfA6cFz70cG2ye45z7R6dU1gX0TflsztmhVNXUc2xy2kHtB85hExERETnsRCjn3HxgfifU0uUkxMWQ2Ss+hJ6zeu1xJiIiIiEJ5eBzOYSs1MRDhrNAwLGntkFzzkRERCQkCmdHKTs18ZDDmnvrGnAO0rVaU0REREKgcHaUsts5/LxJ89FN6jkTERGREKg7J0SvLtvGA3PXUlZRTV5mMndMHsWl4weQdZjDz6uqvUPPNedMREREQqFwFoJXl23jzpkrqA4e07Stopo7Z64AvJ6zfXWN7KttICXx4F/OpnM105P1Sy0iIiKHp2HNEDwwd21zMGtSXd/IA3PXtjrCqS3Nw5rqORMREZEQKJyFoKyiut32rNQE4BDhrMYb1szQnDMREREJgcJZCNrb3T8vM/mwpwSo50xEREQ6QuEsBHdMHkVyfGyrtuT4WO6YPOqw4awyGM5StZWGiIiIhECJIQSXjh8A0OZqzYbGAGawc29dm6+tqqknLTGO2BjrzJJFRESki1I4C9Gl4wc0h7SW4mJj6JuScIhhTZ0OICIi0hV8b+1mFlbsBWDA/OVcmdeHX4wa1Ol1KJyFwaGOcKqqqSdNQ5oiIiK+9r21m3mybDdMyG5ue7JsN0CnBzTNOQuD7LT2j3Cqqq5Xz5mIiIjPPR0MYqG2R5LCWRhkH7LnrEErNUVERHyusYPtkaRwFgZNPWfOuYOe83rONKwpIiLiZ7EdbI8khbMwyEpNpLYhwJ7ahoOeq6qpV8+ZiIiIz12Z16dD7ZGkcBYG7e11Fgg49tZqtaaIiIjf/WLUIK7O69PcUxYLXK3Vml1XVmrwfM09tQzLTm1u31PbgHOQrtWaIiIivveLUYOiEsYOpJ6zMGjuOTtgxWbz0U3qORMREZEQKZyFQXvDmlU1OldTREREOkbhLAwyk+OJjbGD9jqrqvYWCGi1poiIiIRK4SwMYmKMrNSDj3Bq6jnL0LCmiIiIhEjhLEyy0w7eiLZ5zpmGNUVERCRECmdhkpWayK69da3aqmqahjUVzkRERCQ0mgwVJtmpiawp3wOlL8LW7dBQS9WObRjnkZaoX2YREREJjXrOwiQ7LZFde6oJFN0MDd7wZlVNA6lUE7PypShXJyIiIl2FwlmYZKUm0uCMyvrPfkmrXC/S2QfzfhzFykRERKQrUTgLk+a9zlxGc1sVKaTbPqjcGq2yREREpItROAuTpnC2q2U4c71IZz9k5EerLBEREeliFM7CpOl8zZ2x/ZrbquhFemwtTLo7WmWJiIhIF6NwFibNw5qjr4Y47+sqSyd94FgouCyapYmIiEgXoj0ewiQ9KY6EuBh2po+G/FwAqsqrSM/TkKaIiIiETj1nYWJmZKd+dkqAc469tQ06HUBEREQ6ROEsjLJaHOHUGHA4p9MBREREpGMUzsIoOzWh+QinxoADvOFOERERkVApnIVRy8PPG5rCmXrOREREpAMUzsIoOzWR3ftqcc616DlTOBMREZHQKZyFUVZaIgHn9Zp91nOmYU0REREJnZJDGGUHN6Ktawj0uJ6zfct2UDV3E40VtcRmJpI+eTAp4/sd/oUiIiLSisJZGDVtRFvf6HrUnLN9y3ZQMfMDXH0AgMaKWipmfgCggCYiItJBGtYMo6YjnOobAzQGAphBWmL3z79Vczc1B7Mmrj5A1dxN0SlIRESkC1M4C6PPes4CNAQcqYlxxMRYlKuKvMaK2g61i4iISPsUzsIoJTGOXgmx1Dd6qzV7ynyz2MzEDrWLiIhI+xTOwiwrNbG556wnzDcDSJ88GItv/VvJ4mNInzw4OgWJiIh0Yd1/QlQny05LpGJ/HY6eczpA06R/rdYUERE5ej0jPXSi7NRE3i+rwqxnrNRskjK+n8KYiIhIGCichVlWWgL1jQFizHrMnDMREREJH4WzMMtOTaIh4Igxp9MBREREpMO0ICDMmrbTCLieczqAiIiIhI/CWZhlpSY0f92T5pyJiIhIeCichVlTzxn0nNWaIiIiEj4RDWdmdqGZrTWz9Wb2/Tae/4qZlQZ/vG1mhS2e22RmK8xsuZktiWSd4dR0hBOo50xEREQ6LmJdO2YWC/wWOB/YCiw2syLn3PstLvsQONs596mZXQTMAE5u8fxE59yuSNUYCa17zhTOREREpGMi2XM2AVjvnNvonKsDngemt7zAOfe2c+7T4MN3gPwI1tMpkuJjiQ2ep6nVmiIiItJRkQxnA4AtLR5vDba15xrg9RaPHfCGmS01s+siUF/ExMcGw5l6zkRERKSDItm1Y220uTYvNJuIF87OaNF8unOuzMz6AX8zszXOuX+18drrgOsABg0adPRVh0F8bAw19QHNORMREZEOi2TP2VZgYIvH+UDZgReZWQHwGDDdOfdJU7tzriz48w7gFbxh0oM452Y4505yzp2UnZ0dxvKPXHys98ualqhhTREREemYSIazxcAIMxtiZgnA5UBRywvMbBAwE/iqc25di/YUM0tr+hq4AFgZwVrDKikuhoTYGGJi2uo8FBEREWlfxLp2nHMNZvYtYC4QCzzunFtlZjcEn38UuBvoC/zOzAAanHMnAf2BV4JtccCzzrm/RqrWcMvLTKZ/elK0yxAREZEuKKLjbs6514DXDmh7tMXX1wLXtvG6jUDhge1dQumLxJZtJ7ahFh66HibdDQWXRbsqERER6SJ0QkA4lb4IxTdBQ633uHKL97j0xejWJSIiIl2Gwlk4zfsx1Fe3bquv9tpFREREQqBwFk6VWzvWLiIiInIAhbNwymjngIP22kVEREQOoHAWTpPuhvjk1m3xyV67iIiISAi0S2o4Na3KfGm7tyggY6BWa4qIiEiHKJyFW8FlsHCh9/X1d7R72ZyNc3jkvUfYvm87OSk53HzCzVwy9JJOKlJERET8SuEsCuZsnMO9b99LTWMNAOX7yrn37XsBFNBERER6OM05i4JH3nukOZg1qWms4ZH3HolSRSIiIuIXCmdRsH3f9g61i4iISM+hcBYFOSk5HWoXERGRnkPhLApuPuFmkmJbH4yeFJvEzSfcHKWKRERExC+0ICAKmib9a7WmiIiIHEjhLEouGXqJwpiIiIgcRMOaIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIxENZ2Z2oZmtNbP1Zvb9Np7/ipmVBn+8bWaFBzwfa2bLzGx2JOsUERER8YuIhTMziwV+C1wEjAGuMLMxB1z2IXC2c64A+B9gxgHP3wysjlSNEVH6ImxdDJv+DQ+N9R6LiIiIhCiSPWcTgPXOuY3OuTrgeWB6ywucc2875z4NPnwHyG96zszygUuAxyJYY3iVvgjFN0FDrfe4cov3WAFNREREQhTJcDYA2NLi8dZgW3uuAV5v8fhh4LtAIOyVRcq8H0N9deu2+mqvXURERCQEkQxn1kaba/NCs4l44ex7wcdTgB3OuaWH/RCz68xsiZkt2blz59HUe/Qqt3asXUREROQAkQxnW4GBLR7nA2UHXmRmBXhDl9Odc58Em08HppnZJrzh0HPN7Om2PsQ5N8M5d5Jz7qTs7Oxw1t9xGfkdaxcRERE5QCTD2WJghJkNMbME4HKgqOUFZjYImAl81Tm3rqndOXency7fOTc4+Lp/OOeujGCt4THpbohP5oXE+3kh8X6vLT7ZaxcREREJQVyk3tg512Bm3wLmArHA4865VWZ2Q/D5R4G7gb7A78wMoME5d1Kkaoq4gsu8n+f92BvKzMj3gllTu4iIiMhhRCycATjnXgNeO6Dt0RZfXwtce5j3+CfwzwiUJyIiIuI7EQ1nPU7TVhpNKzabttIA9Z6JiIhISHR8UzhpKw0RERE5Sgpn4aStNEREROQoKZyFk7bSEBERkaOkcBZOwa00WtFWGiIiItIBCmfhVHAZTP0VZAwEzPt56q+0GEBERERCptWa4VZwmcKYiIiIHDH1nImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iMKZiIiIiI8onImIiIj4iDnnol1D2JjZTuCjML5lFrArjO8n4aH74l+6N/6k++Jfujf+1Fn35RjnXPaBjd0qnIWbmS1xzp0U7TqkNd0X/9K98SfdF//SvfGnaN8XDWuKiIiI+IjCmYiIiIiPKJwd2oxoFyBt0n3xL90bf9J98S/dG3+K6n3RnDMRERERH1HPmYiIiIiPKJy1wcwuNLO1ZrbezL4f7Xp6MjMbaGbzzWy1ma0ys5uD7X3M7G9m9kHw597RrrUnMrNYM1tmZrODj3VffMDMMs3sZTNbE/yzc6ruTfSZ2a3Bv8dWmtlzZpak+xIdZva4me0ws5Ut2tq9F2Z2ZzATrDWzyZGuT+HsAGYWC/wWuAgYA1xhZmOiW1WP1gB8xzk3GjgFuDF4P74PzHPOjQDmBR9L57sZWN3ise6LPzwC/NU5dyxQiHePdG+iyMwGADcBJznnxgKxwOXovkTLn4ALD2hr814E/825HDgu+JrfBbNCxCicHWwCsN45t9E5Vwc8D0yPck09lnOu3Dn3XvDrPXj/yAzAuydPBi97Erg0KgX2YGaWD1wCPNaiWfclyswsHTgL+COAc67OOVeB7o0fxAHJZhYH9ALK0H2JCufcv4DdBzS3dy+mA88752qdcx8C6/GyQsQonB1sALClxeOtwTaJMjMbDIwHFgH9nXPl4AU4oF8US+upHga+CwRatOm+RN9QYCfwRHDI+TEzS0H3Jqqcc9uAB4HNQDlQ6Zx7A90XP2nvXnR6LlA4O5i10aYlrVFmZqnAX4BbnHNV0a6npzOzKcAO59zSaNciB4kDTgD+zzk3HtiHhsqiLjh/aTowBMgDUszsyuhWJSHq9FygcHawrcDAFo/z8bqeJUrMLB4vmD3jnJsZbP7YzHKDz+cCO6JVXw91OjDNzDbhDf2fa2ZPo/viB1uBrc65RcHHL+OFNd2b6DoP+NA5t9M5Vw/MBE5D98VP2rsXnZ4LFM4OthgYYWZDzCwBbxJgUZRr6rHMzPDmzqx2zv2yxVNFwNXBr68GZnV2bT2Zc+5O51y+c24w3p+RfzjnrkT3Jeqcc9uBLWY2Ktg0CXgf3Zto2wycYma9gn+vTcKbQ6v74h/t3Ysi4HIzSzSzIcAI4N1IFqJNaNtgZhfjzaeJBR53zv0kuhX1XGZ2BrAAWMFnc5t+gDfv7EVgEN5fel90zh04uVM6gZmdA9zunJtiZn3RfYk6MxuHt1AjAdgIfA3vP+O6N1FkZvcBX8Jbhb4MuBZIRfel05nZc8A5QBbwMXAP8Crt3Aszuwv4Ot69u8U593pE61M4ExEREfEPDWuKiIiI+IjCmYiIiIiPKJyJiIiI+IjCmYiIiIiPKJyJiIiI+IjCmYhIO8xssJmtjHYdItKzKJyJiIiI+IjCmYhICMxsaPAg8c9FuxYR6d4UzkREDiN4FNJfgK855xZHux4R6d7iol2AiIjPZeOdsfcF59yqaBcjIt2fes5ERA6tEtgCnB7tQkSkZ1DPmYjIodUBlwJzzWyvc+7ZKNcjIt2cwpmIyGE45/aZ2RTgb2a2zzk3K9o1iUj3Zc65aNcgIiIiIkGacyYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj6icCYiIiLiIwpnIiIiIj7y/wH42kmVk23SwAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 1\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than or equal to that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
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